Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Sharif University of Technology | Iran

Dr. Zahra Amini is an Assistant Professor of Civil Engineering at Sharif University of Technology, specializing in intelligent transportation systems, sustainable mobility, and operations research for urban traffic management. She earned her Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley, and has led impactful projects in Iran and the U.S., ranging from corridor management to urban traffic resilience. With several high-impact publications, awards, and ongoing research on data-driven and machine learning approaches to transportation systems, she is recognized for advancing reliable, sustainable, and intelligent urban mobility solutions.

Academic Profile 

Google Scholar

Education

Dr. Zahra Amini completed her higher education in Civil and Environmental Engineering at the University of California, Berkeley, where she advanced her expertise in transportation systems and sustainable infrastructure. Alongside her major studies, she pursued minors in Industrial Engineering, Operations Research, and City and Regional Planning, which provided her with a strong interdisciplinary foundation. Her doctoral thesis focused on data-driven approaches for developing robust signal plans in urban transportation networks, reflecting her commitment to integrating advanced analytical methods with practical engineering challenges. This academic background equipped her with the technical knowledge and research skills that now define her scholarly and professional contributions.

Professional Experience

Dr. Amini serves as an Assistant Professor in the Department of Civil Engineering at Sharif University of Technology, where she teaches both undergraduate and graduate courses. Her teaching portfolio includes systems engineering, traffic engineering, and advanced transportation analysis, complemented by the design of a specialized course in Intelligent Transportation Systems. In addition to her academic role, she manages several research and development projects aimed at improving urban transportation and logistics planning. She has also gained international experience through her work at California Partners for Advanced Transportation Technology, contributing to projects focused on corridor management and traffic system optimization.

Research Interests

Dr. Amini’s research is centered on intelligent transportation systems, sustainable mobility solutions, and operations research applications in transportation system design. She focuses on integrating data-driven and machine learning methods to analyze and improve urban traffic flow, evaluate network resilience, and design reliable transport strategies. Her work also explores the operational sustainability of urban traffic networks and the role of intelligent systems in shaping resilient cities. By bridging theoretical models with applied research, she contributes innovative solutions to the pressing challenges of modern transportation.

Awards and Honors

Dr. Amini has received recognition for her teaching and research contributions through multiple awards. She has been honored for designing innovative courses in Intelligent Transportation Systems and has secured research grants supporting the development of advanced mobility solutions. Her scholarly excellence has been acknowledged with distinctions such as best paper and best presentation awards at international conferences. Additionally, she has been awarded prestigious fellowships that supported her academic journey and research endeavors, reflecting her status as a promising leader in the field of transportation engineering.

Publications

Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran
Author: M.E. Doraki, A. Avami, M. Boroushaki, Z. Amini
Journal: Transportation Research Part D: Transport and Environment
Year: 2024

Optimizing offsets in signalized traffic networks: A case study
Author: Z. Amini, S. Coogan, C. Flores, A. Skabardonis, P. Varaiya
Journal: IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
Author:  S. Sabzekar, A. Roudbari, A. Dehghani, A. Safaeiestalkhzir, Z. Amini
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2025

Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
Author: E. Hassanzadeh, Z. Amini
Journal: Scientia Iranica
Year: 2024

Unsupervised learning for topological classification of transportation networks
Author: S. Sabzekar, M.R.V. Malakshah, Z. Amini
Journal: arXiv preprint
Year: 2023

Data-Driven Approaches for Robust Signal Plans in Urban Transportation Networks
Author: Z. Amini
Journal:  University of California, Berkeley (Thesis)
Year: 2018

Spatial network-wide traffic flow imputation with graph neural network
Author: S. Sabzekar, R. Bahmani, M. Ghasemi, Z. Amini
Journal:  International Journal of Intelligent Transportation Systems Research
Year: 2025

Analyzing the impacts of gasoline price change on nationwide trip demand and drivers’ behavior using regression discontinuity design
Author: S. Saeidi, Z. Amini
Journal: Scientia Iranica
Year: 2024

Conclusion

Dr. Zahra Amini’s distinguished academic background, impactful research in intelligent and sustainable transportation systems, and recognized leadership in advancing innovative solutions firmly establish her as an outstanding candidate for the Best Researcher Award. Her dedication to bridging research, education, and real-world applications makes her not only deserving of this recognition but also a valuable contributor to the global scientific community.

Xingyu Xiao | Research Excellence | Innovative Research Award | 2397

Dr. Xingyu Xiao | Research Excellence | Innovative Research Award

Dr. Xingyu Xiao | Tsinghua University | China

Xingyu Xiao is a doctoral researcher in Reliability Engineering and Safety Analysis at Tsinghua University, with a strong background in safety engineering from the University of Science and Technology Beijing. His research focuses on risk-informed decision support, human reliability analysis, and the integration of artificial intelligence, large language models, and graph neural networks into nuclear safety and emergency response. With numerous high-impact publications in journals such as Reliability Engineering & System Safety, Energies, and Risk Analysis, he has also contributed to open datasets and advanced frameworks for safety assessment. Recognized with top honors including the Tanzhen Scholar Award, National Scholarships, and multiple Best Paper Awards, Xiao is emerging as a promising young scholar bridging reliability engineering with cutting-edge AI technologies.

Academic Profile 

Scopus | Google Scholar

Education

Dr. Sheng Xiao pursued his academic training in biochemistry and molecular biology, where he gained a strong foundation in cellular processes, molecular signaling, and the interface of traditional medicine with modern biomedical science. His education emphasized both theoretical knowledge and hands-on experimental research, allowing him to develop expertise in advanced laboratory techniques, molecular genetics, and translational applications. This strong academic background laid the groundwork for his future contributions in aging research, intestinal regeneration, and the therapeutic value of natural compounds.

Experience

Dr. Xiao is currently affiliated with the Navy Medical University, where he has advanced through academic and research roles with increasing responsibility. He has successfully led major projects funded at institutional, provincial, and national levels, serving as a principal investigator and collaborator in multidisciplinary teams. His experience covers research into brain–gut interactions, nuclear protein function in cancer biology, and natural medicine applications for age-related diseases. Beyond laboratory research, he has contributed to scientific societies, taken up editorial responsibilities, and engaged in collaborative programs that strengthen the global exchange of biomedical knowledge.

Research Interests

His research is centered on the molecular basis of intestinal stem cell regulation, gut regeneration, and aging-related disorders. He is deeply interested in how natural compounds derived from traditional Chinese medicine influence molecular pathways such as Keap1–Nrf2 and srebp-mediated regulation. By integrating experimental models with translational perspectives, his work bridges the gap between fundamental molecular biology and clinical application. Additionally, he explores the brain–gut axis, aiming to understand the systemic mechanisms that link neurobiology, intestinal health, and therapeutic interventions.

Awards

Dr. Xiao has received recognition for his contributions through prestigious awards in scientific meetings, academic forums, and institutional honors. His poster presentations at international congresses and achievements in traditional medicine research have highlighted his innovative and impactful approaches. He has also been honored with distinguished scholar recognition for his leadership and excellence in research. These awards reflect his growing influence in the field and his continued commitment to advancing biomedical science for the benefit of both academia and healthcare.

Publications

Enhancing LOCA breach size diagnosis with deep learning

Author: X. Xiao, B. Qi, J. Liang, J. Tong, Q. Deng, P. Chen
Journal: Energies
Year: 2023

MixedGaussianAvatar: Realistically and geometrically accurate head avatar via mixed 2D-3D Gaussian splatting

Author: P. Chen, X. Wei, Q. Wuwu, X. Wang, X. Xiao, M. Lu – arXiv
Journal: preprint
Year: 2024

KRAIL: A knowledge-driven framework for base human reliability analysis integrating IDHEAS and large language models

Author: X. Xiao, P. Chen, B. Qi, H. Zhao, J. Liang, J. Tong, H. Wang
Journal: preprint
Year: 2024

Multimodal learning using large language models to improve transient identification in nuclear power plants

Author: B. Qi, J. Sun, Z. Sui, X. Xiao, J. Liang
Journal: Progress in Nuclear Energy
Year: 2024

A dynamic risk-informed framework for emergency human error prevention in high-risk industries: A nuclear power plant case study

Author: X. Xiao, B. Qi, S. Liu, P. Chen, J. Liang, J. Tong, H. Wang
Journal: Reliability Engineering & System Safety
Year: 2025

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

Author:  Q. Deng, X. Xiao, L. Zhu, X. Cao, K. Liu, H. Zhang, L. Huang, F. Yu, H. Jiang, …
Journal: Risk Analysis
Year: 2023

Conclusion

Dr. Sheng Xiao’s groundbreaking research, leadership in prestigious projects, and commitment to advancing biochemistry and molecular biology make him an outstanding candidate. His contributions have not only deepened scientific understanding but also paved the way for innovative therapeutic applications, positioning him as a highly suitable recipient of the Innovative Research Award.

gülçin gacar | Scientific Breakthroughs | Distinguished Scientist Award

Assoc. Prof. Dr. gülçin gacar | Scientific Breakthroughs | Distinguished Scientist Award

Assoc. Prof. Dr. gülçin gacar | KOCAELI UNIVERSITY, Turkey

Dr. Gülçin Gacar is an Associate Professor at Kocaeli University, serving at the Center for Stem Cell and Gene Therapies within the Institute of Health Sciences. With a strong background in clinical microbiology, her research explores mesenchymal stem cells, exosomes, extracellular vesicles, and regenerative therapies. She actively leads and contributes to national scientific projects and serves as a mentor to graduate students. Her work bridges experimental research with clinical applications, advancing the field of stem cell biology through innovation and interdisciplinary collaboration.

Academic Profile 

ORCID, Google Scholar

Education

Dr. Gülçin Gacar pursued her academic training in medical and life sciences with a strong emphasis on clinical microbiology and cellular biology. Her foundational education equipped her with deep theoretical and practical knowledge of molecular biology, immunology, and biotechnology. Building upon this, she specialized in advanced studies of stem cells and regenerative medicine, laying the groundwork for her future research in cellular therapies and translational medicine. Her education has been a critical driver in shaping her academic vision and her interdisciplinary approach to complex biomedical challenges.

Professional Experience

Dr. Gacar currently holds the position of Associate Professor at Kocaeli University, where she is actively involved with the Center for Stem Cell and Gene Therapies. Over the years, she has gained extensive academic and research experience, having taught and mentored at undergraduate and postgraduate levels. She plays a vital role in supervising graduate theses and guiding students in advanced biomedical research. Beyond her teaching responsibilities, she is also a principal investigator and research consultant on numerous scientific projects funded by national bodies such as TÜBİTAK. Her experience includes close collaboration with multidisciplinary teams working on cellular therapies, tissue engineering, and experimental models of disease. Her leadership in research has contributed significantly to the academic output of her department and to the scientific community at large.

Research Interests

Dr. Gacar’s research focuses on the therapeutic potential of mesenchymal stem cells, exosomes, and extracellular vesicles, particularly in the context of neurodegenerative diseases, cancer biology, and tissue regeneration. Her work integrates cellular and molecular techniques to investigate disease mechanisms and therapeutic responses in experimental models. She has conducted studies on the effects of stem-cell-derived exosomes in Alzheimer’s disease models, explored the anti-inflammatory potential of compounds in oxidative stress conditions, and examined the use of photodynamic therapy agents in cancer treatment. Dr. Gacar is particularly interested in how cell-to-cell communication via extracellular vesicles can be harnessed to develop new treatment modalities. Her scientific output reflects a strong commitment to translational research, bridging the gap between bench-side discoveries and clinical applications.

Awards and Recognition

Throughout her career, Dr. Gacar has earned recognition for her contributions to medical research and scientific innovation. She has been involved in several prestigious research projects funded by national agencies, notably TÜBİTAK, and by higher education institutions. Her collaborative work has resulted in multiple successful research grants and numerous scholarly publications in peer-reviewed journals. Dr. Gacar has also contributed to the advancement of academic research infrastructure by mentoring emerging scholars and participating in advisory roles on national research panels. These accomplishments underscore her standing in the scientific community and highlight the broader impact of her research in the fields of stem cell biology and regenerative medicine.

Publications

Characterization of mesenchymal stem cells from rat bone marrow: ultrastructural properties, differentiation potential and immunophenotypic markers – Histochemistry and cell biology (2009)

Isolation and in vitro characterisation of dental pulp stem cells from natal teeth – Histochemistry and cell biology (2010)

Comparative analysis of apoptotic resistance of mesenchymal stem cells isolated from human bone marrow and adipose tissue – The Scientific World (2012)

The short-and long-term effects of estrogen deficiency on apoptosis in musculoskeletal tissues: an experimental animal model study – Archives of Iranian Medicine (2013)

In vitro protection of adipose tissue-derived mesenchymal stem cells by erythropoietin – Acta histochemica (2014)

Protective effects of resveratrol on aging-induced cognitive impairment in rats – Neurobiology of learning and memory (2016)

Restorative effect of resveratrol on expression of endothelial and neuronal nitric oxide synthase in cavernous tissues of chronic unpredictable mild stress-exposed rats: an – International Journal of Impotence Research (2018)